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DOI | 10.1007/s00382-017-3953-x |
Origin of Indian summer monsoon rainfall biases in CMIP5 multimodel ensemble | |
Wang, Ziqian1,2; Li, Gen3; Yang, Song1,2 | |
2018-07-01 | |
发表期刊 | CLIMATE DYNAMICS
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ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2018 |
卷号 | 51页码:755-768 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | Significant biases of coupled general circulation models (CGCMs) lead to considerable uncertainty in climate predictions and projections. Based on the historical simulations in the phase 5 of the Coupled Model Intercomparison Project (CMIP5), we identify that state-of-the-art CGCMs commonly simulate insufficient Indian summer monsoon (ISM) rainfall along with too weak monsoon circulations. Such ISM rainfall/circulation biases, however, are absent in the Atmospheric Model Intercomparison Project simulations forced by observed sea surface temperature (SST), suggesting that the common ISM biases are not intrinsic errors of the atmospheric models but arise from the interaction between the monsoon and the oceans. A multimodel statistical analysis further shows that the ISM rainfall/circulation biases in CMIP5 models can be traced back to the excessively cold SST over the northern Indian Ocean (NIO). The systemic cold SST biases in the NIO suppress local convective activity and reduce air temperature, resulting in a weak north-south thermal contrast in the mid-upper troposphere. This would induce an excessively weak ISM circulation and resultant insufficient monsoon rainfall. Furthermore, the dynamic effect of cold NIO SST biases on the ISM rainfall/circulation simulations is also confirmed through several sensitivity experiments by using the widely-applied Weather Research and Forecasting model. To the extent that the cold SST biases over the NIO may originate from an excessively strong Indian winter monsoon, improving the winter monsoon simulation is an important prerequisite for better summer climate simulations and predictions/projections over the broad ISM region. |
英文关键词 | Indian summer monsoon Rainfall Modeling biases Sea surface temperature Northern Indian Ocean CMIP5 |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000435522000045 |
WOS关键词 | SEA-SURFACE TEMPERATURE ; VARIABILITY ; IMPACTS ; OCEAN ; ROLES ; MODEL |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/35536 |
专题 | 气候变化 |
作者单位 | 1.Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Guangdong, Peoples R China; 2.Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangzhou, Guangdong, Peoples R China; 3.Hohai Univ, Coll Oceanog, Nanjing, Jiangsu, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Ziqian,Li, Gen,Yang, Song. Origin of Indian summer monsoon rainfall biases in CMIP5 multimodel ensemble[J]. CLIMATE DYNAMICS,2018,51:755-768. |
APA | Wang, Ziqian,Li, Gen,&Yang, Song.(2018).Origin of Indian summer monsoon rainfall biases in CMIP5 multimodel ensemble.CLIMATE DYNAMICS,51,755-768. |
MLA | Wang, Ziqian,et al."Origin of Indian summer monsoon rainfall biases in CMIP5 multimodel ensemble".CLIMATE DYNAMICS 51(2018):755-768. |
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